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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Human-in-the-loop strategies |
| Topic 2: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Advanced prompting techniques - Prompt design principles and best practices |
| Topic 3: AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - Integration of AI tools in development processes - AI-assisted code generation and improvement |
| Topic 4: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation |
| Topic 5: AI Ethics and Security | 20% | - Compliance and governance frameworks - Responsible AI principles - Data privacy and security in AI systems - AI-specific threats, risks and misinformation |
| Topic 6: Generative AI Models | 20% | - Context windows, token limits and response management - Model selection and evaluation in AI hubs - Model hosting options and trade-offs - Generative AI model families and use cases |
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NEW QUESTION # 72
Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?
Answer: D
Explanation:
AI-assisted debugging uses error logs, stack traces, and runtime context to help identify the root cause of a failure and suggest a corrective fix.
NEW QUESTION # 73
What is the benefit of AI Ops (AIOps) in networking?
Answer: D
Explanation:
AIOps uses AI to improve IT operations, detect anomalies, and accelerate troubleshooting.
NEW QUESTION # 74
Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?
Answer: D
Explanation:
Code scaffolding uses AI to generate the initial structure and boilerplate for a new component, such as a complete Python class for an API client based on a high-level description.
NEW QUESTION # 75
An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?
Answer: B
Explanation:
Local LLM deployment on internal hardware keeps proprietary source code within the organization's internal network, providing the strongest control over data location, access, and governance.
NEW QUESTION # 76
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?
Answer: B
Explanation:
Requesting citations grounds the summary in the provided technical document and makes the model support its claims with specific source references, reducing the chance of unsupported or fabricated content.
NEW QUESTION # 77
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